Tjitze Rienstra

Tjitze Rienstra

 https://orcid.org/0000-0001-9971-3067

Willing to speak to media

20212023

Research activity per year

  • 7 Conference article in proceeding
  • 2 Chapter
  • 1 Article

Search results

  • Revision, defeasible conditionals and non-monotonic inference for abstract dialectical frameworks

    Heyninck, J., Kern-Isberner, G., Rienstra, T., Skiba, K. & Thimm, M., Apr 2023, In: Artificial Intelligence. 317, 33 p., 103876.

    Research output: Contribution to journal › Article › Academic › peer-review

    Open Access

  • Realisability of Rankings-based Semantics

    Skiba, K., Thimm, M., Rienstra, T., Heyninck, J. & Kern-Isberner, G., 2022, CEUR Workshop Proceedings - Proceedings of the Fourth International Workshop on Systems and Algorithms for Formal Argumentation co-located with the 9th International Conference on Computational Models of Argument (COMMA 2022). p. 73-85

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

    Open Access

  • Ranking Extensions in Abstract Argumentation

    Skiba, K., Rienstra, T., Thimm, M., Heyninck, J. & Kern-Isberner, G., 2021, Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI-21). p. 2047-2053

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

    Open Access
    File
    17 Downloads (Pure)

  • Possibilistic Logic Underlies Abstract Dialectical Frameworks

    Heyninck, J., Kern-Isberner, G., Rienstra, T., Skiba, K. & Thimm, M., 2022, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22). International Joint Conferences on Artificial Intelligence, p. 2655-2661

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

    Open Access
    File
    19 Downloads (Pure)

  • Non-Admissibility in Abstract Argumentation

    Dvorák, W., Rienstra, T., Torre, L. V. D. & Woltran, S., 2022, Computational Models of Argument. Toni, F., Polberg, S., Booth, R., Caminada, M. & Kido, H. (eds.). p. 128-139 (Frontiers in Artificial Intelligence and Applications, Vol. 353).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

    Open Access

  • New Weak Admissibility Semantics for Abstract Argumentation

    Dauphin, J., Rienstra, T. & van der Torre, L., 15 Oct 2021, Logic and Argumentation: 4th International Conference on Logic and Argumentation, CLAR 2021. Baroni, P., Benzmüller, C. & Wang, Y. N. (eds.). Springer International Publishing, p. 112-126 15 p. (Lecture Notes in Computer Science, Vol. 13040).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

  • Explaining Argument Acceptance in ADFs

    Rienstra, T., Heyninck, J., Kern-Isberner, G., Skiba, K. & Thimm, M., 2022, CEUR Workshop Proceedings - ArgXAI-22. 12 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

  • Conditional Abstract Dialectical Frameworks

    Heyninck, J., Thimm, M., Kern-Isberner, G., Rienstra, T. & Skiba, K., 2022, Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI'22): AAAI Technical Track on Knowledge Representation and Reasoning. 5 ed. The Association for the Advancement of Artificial Intelligence , Vol. 36. p. 5692-5699 8 p. (AAAI Conference on Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

    Open Access
    File
    24 Downloads (Pure)

  • Argumentation-based Causal and Counterfactual Reasoning

    Bengel, L., Blümel, L., Rienstra, T. & Thimm, M., 2022, CEUR Workshop Proceedings - 1st International Workshop on Argumentation for eXplainable AI (ArgXAI). Vol. 3209. 12 p. (CEUR Workshop Proceedings, Vol. 3209).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

    Open Access

  • An Argumentative Framework for Generating Explainable Group Recommendations

    van Kuijk, K., Mahmoudi, S. S., Wen, Y., Barile, F. & Rienstra, T., 2023, Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization. New York, NY, USA: Association for Computing Machinery, p. 266–274 9 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

    Open Access
    File
    16 Downloads (Pure)